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3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

a3c

Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.

aae_pytorch

abnormal-spatiotemporal-ae

Codes for "Abnormal Event Detection in Videos using Spatiotemporal Autoencoder".

accimage

high performance image loading and augmenting routines mimicking PIL.Image interface

act-rte-inference

act-tensorflow

Adaptive Computation Time algorithm in Tensorflow

active_sciencing

active learning + reusable workflows + likelihood free inference

adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

adversarial-patch

PyTorch implementation of adversarial patch

adversarial_autoencoder

Implementation of Adversarial Autoencoder with Theano

albumentations

fast image augmentation library and easy to use wrapper around other libraries

algo-coin

Algorithmic trading cryptocurrencies across multiple exchanges

alpaca-trade-api-python

Python client for Alpaca's trade API

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

alphalens

Performance analysis of predictive (alpha) stock factors

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

amipy

very fast python backtesting framework based on amibroker backtesting methodology

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

anml

A Neuromodulated Meta-Learning algorithm

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

aorun

Deep Learning over PyTorch

api-connectors

Libraries for connecting to the BitMEX API.

arbfloats.jl

Much faster than BigFloat at precisions up to 3,500 bits (1050 digits)

arc-pytorch

PyTorch implementation of Attentive Recurrent Comparators

arch

ARCH models in Python

arrayfire.jl

Julia wrapper for the ArrayFire library

arraylstm

v0